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基于轻量化混合卷曲的实时成熟棘检测网络用于收获机器人

Baojian Ma1, Bangbang Chen1,2, Xuan Li1

  • 1School of Mechatronic Engineering, Xinjiang Institute of Technology, Aksu 843100, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
概括

这项研究介绍了YOLO-DCL,这是一种轻量级的棘检测模型,可以克服自动收获的果园挑战. 它实现了高精度和实时性能,并降低了计算成本.

关键词:
复杂的环境部署申请收获机器人轻量级的实时检测

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